Open AccessBug Reports and Deep Learning Models
Author(s) -
Som Gupta,
Shilpi Gupta
Publication year - 2021
Publication title -
international journal of computer science and mobile computing
Language(s) - English
Resource type - Journals
ISSN - 2320-088X
DOI - 10.47760/ijcsmc.2021.v10i12.003
Subject(s) - deep learning , automatic summarization , computer science , artificial intelligence , field (mathematics) , machine learning , domain (mathematical analysis) , natural language processing , data science , mathematical analysis , mathematics , pure mathematics
Deep Learning is one of the emerging and trending research area of machine learning in various domains. The paper describes the deep learning approaches applied to the domain of Bug Reports. The paper classifies the tasks being performed for mining of Bug Reports into Bug Report Classification, Bug Localization, Bug Report Summarization and Duplicate Bug Report Detection. The paper systematically discusses about the deep learning approaches being used for the mentioned tasks, and the future directions in this field of research.